This unit provides an overview of data analytics for accounting. Traditional accounting techniques and practices were developed in the industrial era (a low information environment) and have changed very little since. Financial reports tend to be historical and financial in nature, heavily aggregated, static and paper based. This unit considers how the mega-trend of 'Big Data', artificial intelligence and robotics is impacting and shaping current accounting, financial reporting and auditing practices and their likely impact on future practices. This UoS also explores how Big Data and artificial intelligence is currently used in accounting practice; and the potential of these techniques to shape future practices in specific areas such as accounting measurement and forecasting, audit sampling and the timing and frequency of reporting (as examples). The unit also introduces students to current accounting research in the field of Big Data and artificial intelligence.
1.5 hour lecture x 1, plus 1.5 hour tutorial x 1
case study (30%); mid-semester examination (20%); final exam (50%)
Completion of INFS3110 (or INFS2001) is desirable.
ACCT2011 and (ACCT2012 or ACCT2019)